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Interaction between a human and an AGV system in a shared workspace—A literature review Identifying Research Areas
Background: This article presents the results of a literature review from 2018 to 2023, which
focused on research related to human and AGV system cooperation in a shared workspace …
focused on research related to human and AGV system cooperation in a shared workspace …
A review of recent advances, techniques, and control algorithms for automated guided vehicle systems
Autonomy offers significant advantages for mobile robots by eliminating the need for human
operators, thereby enhancing safety and cost-effectiveness. Path planning is an essential …
operators, thereby enhancing safety and cost-effectiveness. Path planning is an essential …
Adaptive pure pursuit: A real-time path planner using tracking controllers to plan safe and kinematically feasible paths
Path planning is an essential function in an intelligent vehicle, especially when driving in
scenarios cluttered by large-scale static obstacles. Traditional path planners often struggle …
scenarios cluttered by large-scale static obstacles. Traditional path planners often struggle …
Reliable global path planning of off-road autonomous ground vehicles under uncertain terrain conditions
Path planning plays a vital role in ensuring the efficient and safe operation of off-road
autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel …
autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel …
A unified framework integrating trajectory planning and motion optimization based on spatio-temporal safety corridor for multiple AGVs
Planning safe and smooth trajectories for multiple autonomous ground vehicles (MAGVs) in
a complex dynamic unstructured environment is a fundamental and challenging task. In this …
a complex dynamic unstructured environment is a fundamental and challenging task. In this …
APG-RRT: Sampling-based path planning method for small autonomous vehicle in closed scenarios
Z Wang, P Li, Z Wang, Z Li - IEEE Access, 2024 - ieeexplore.ieee.org
To address the shortcomings of the classical RRT (Rapidly exploring Range Tree) path
planning algorithm, such as long planning time and path curvature in some narrow and …
planning algorithm, such as long planning time and path curvature in some narrow and …
Robotic Manipulator in Dynamic Environment with SAC Combing Attention Mechanism and LSTM
X Kuang, S Zhou - Electronics, 2024 - mdpi.com
The motion planning task of the manipulator in a dynamic environment is relatively complex.
This paper uses the improved Soft Actor Critic Algorithm (SAC) with the maximum entropy …
This paper uses the improved Soft Actor Critic Algorithm (SAC) with the maximum entropy …
Automatic parking trajectory planning based on random sampling and nonlinear optimization
J Wang, J Li, J Yang, X Meng, T Fu - Journal of the Franklin Institute, 2023 - Elsevier
The current parking trajectory planning algorithms based on geometric connections or
formulation of optimization problems in automatic parking systems have strict requirements …
formulation of optimization problems in automatic parking systems have strict requirements …
Sampling-based path planning in highly dynamic and crowded pedestrian flow
Autonomous pedestrian-aware navigation in shared human-robot environments is a
challenging problem. Here we consider a common situation in which a large crowd of …
challenging problem. Here we consider a common situation in which a large crowd of …